Image created with Ideogram V2. Image prompt: A vibrant spring meadow with exaggerated blooming flowers in bright colors. Hidden comically in the middle is a Retrieval Augmented Generation system with document indexes and embedding vectors trying to disguise themselves as unusual plants. Knowledge databases grow like strange geometric flowers. Documents connect to a central AI with glowing threads. Woodland animals search through tiny filing cabinets. Vector spaces are visualized as constellations above flowers. The whole scene is bathed in golden sunshine with lens flares. Vibrant colors and high detail. The word “RAG” integrated into the scene.
Introducing Embed 4: Multimodal search for business https://cohere.com/blog/embed-4
“Voice RAG Agent using OpenAI Agents SDK and Qdrant as the vector database. 100% Opensource Code. https://x.com/Saboo_Shubham_/status/1905084210635047421
“BOOM! Psyched to welcome @cohere on the Hub -providing blazingly fast inference for their Open and Enterprise models! 🔥 Starting today you can access all open Cohere models directly from the Hub with OpenAI compatibility too! Bonus: The models are really really good at Tool https://x.com/reach_vb/status/1912523838723662064
“Its hard to understand how ChatGPT’s extended memory works. It is pretty good at playing at cold readings that sound profound, but seems to struggle with useful details & patterns from chats. Was there any info released about whether it is RAG, some sort of summary file, etc?” / X https://x.com/emollick/status/1910890927595418015
Cohere on Hugging Face Inference Providers 🔥 https://huggingface.co/blog/inference-providers-cohere
“Underrated way to get better at RAG is to talk to people like Doug who have spent lots of time optimizing retrieval & search. Decades of expertise carries over – and many people are ignoring this” / X https://x.com/HamelHusain/status/1911830144635084930
